Despite the substantial body of evidence detailing the multifaceted use of data within organizations, the conceptualizations of data and their value propositions remain disjointed and require updating. Information Systems scholars contend that the traditional ways of conceiving data now appear inadequate in framing this ever-evolving data-driven phenomenon. In this context, we argue for a reassessment of the fundamental assumptions about data in the field. This paper offers a comprehensive literature review, through which we conceptualize the role of data into four distinguishable types: data as a tool, as a commodity, as a practice, and as algorithmic intelligence. Each type possesses a set of identifiable characteristics, usage, and unique pathways of value creation. Together these elements form a typology, which provides an explanation for the intricate and complex nature of data use in organizations and the diverse sources of their value.

中文翻译：

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是时候重新评估数据价值了：组织中数据的多种面貌


尽管有大量证据详细说明了组织内部数据的多方面使用，但数据的概念化及其价值主张仍然脱节，需要更新。信息系统学者认为，传统的数据构思方式现在似乎不足以构建这种不断发展的数据驱动现象。在这种情况下，我们主张重新评估有关该领域数据的基本假设。本文提供了全面的文献综述，通过它我们将数据的作用概念化为四种可区分的类型：数据作为工具、商品、实践和算法智能。每种类型都拥有一组可识别的特征、用途和独特的价值创造途径。这些元素共同构成了一种类型学，它为组织中数据使用的复杂性及其价值的不同来源提供了解释。